Cited by 134Adult and Continuing Education TopicsInnovations in Medical EducationEducational Leadership and Innovation

The DOI matches its Crossref record.

The adult learner: a mythical species

Norman, G R·1999·Academic Medicine

Abstract

Adult learning theory, first described by Malcolm Knowles in the early 1970s, is based on a number of apparently self-evident axioms about how adults learn. The fundamental assumptions remain largely untested, and a critical analysis suggests that they may be largely a product of the environment in which adults find themselves rather than of any innate differences between adults and children. What evidence does exist suggests that one critical component of adult learning, self-assessment, is not easy. Further, while students can learn the skills to learn on their own (i.e., can acquire self-directed learning skills), this does not translate into greater competence, in either the short or long term. Uncritical reliance on the principles of adult learning may have detrimental consequences, particularly in the domain of maintenance of competence.

Overview

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Crossref · 10.1097/00001888-199908000-00011

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Metadata

Authors
Norman, G. R.
Affiliations
McMaster University (CA)
Corresponding author
Norman, G R
Venue
Academic Medicine
Published
1999-08
Volume
74
Issue
8
Pages
886-9
ISSN
1040-2446 (ISSN-L)
OpenAlex
W2001554171
Cited by
134
References
0
Citations by year
2026: 2 · 2025: 2 · 2024: 2 · 2022: 2 · 2021: 2 · 2020: 3 · 2019: 4 · 2018: 6 · 2017: 4 · 2016: 5 · 2015: 4 · 2014: 6 · 2013: 7 · 2012: 5
FWCI
36.03
Type
journal article
Language
en
Open access
closed
Locations
  • Academic Medicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Education › Adult and Continuing Education Topics
  • Social Sciences › Education › Innovations in Medical Education
  • Social Sciences › Education › Educational Leadership and Innovation
Keywords
andragogy, Malcolm Knowles, self-directed learning, self-assessment, competence maintenance, adult learners
MeSH terms
Adult, Humans, Learning, Models, Theoretical

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